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dirigent-block-parquet

The parquet block family: one codec, convert.arrow, trading parquet with the three text spellings convert.std already trades between.

From To What it does
parquet json, ndjson, csv Each row becomes one record, every value in its JSON spelling.
json, ndjson, csv parquet Each record becomes one row, under a schema inferred from the records.

The record model is convert.std's: a sequence of flat records. What parquet adds is types, and the codec is honest about them in both directions:

  • Writing infers one type per column -- boolean, int64, float64, or string -- from the records. Integers and floats unify to a float column, because JSON calls both a number; any other mix is refused naming the column. A column every row leaves null is written as a nullable string column. A csv source carries no types, so csv to parquet writes string columns and nothing else.
  • Reading gives every value its JSON spelling: timestamps, dates and times come back as ISO strings, decimals as strings, and a float that is NaN or infinite as null. A nested column, or one holding raw bytes, is refused naming it -- flattening is a reshape, and a reshape belongs to a jq step that knows what the flattening should mean.

A conversion is a storage-object operation, like storage.copy: it reads the object at source and writes the one at target, and neither side is ever a value the step carries. A run that means to look at the records reads them with storage.read.

The family ships separately because convert.std is deliberately on the standard library and nothing else; this codec stands on pyarrow. Nothing else in the workspace may depend on it.

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Release files for dirigent-block-parquet 0.27.1

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Source distribution for dirigent-block-parquet 0.27.1
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dirigent_block_parquet-0.27.1-py3-none-any.whl Python 3 none any Details for dirigent_block_parquet-0.27.1-py3-none-any.whl

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